DocumentCode
2830014
Title
Cell Decomposition for Building Model Generation at Different Scales
Author
Haala, Norbert ; Becker, Susanne ; Kada, Martin
Author_Institution
Univ. Stuttgart, Stuttgart
fYear
2007
fDate
11-13 April 2007
Firstpage
1
Lastpage
6
Abstract
Usually, 3D building reconstruction is realized by systems, which either apply constructive solid geometry (CSG) or boundary representation (B-Rep) to model the respective buildings. We present an alternative approach based on cell decomposition, which can be used efficiently for building reconstruction at different scales. Firstly, building polyhedrons are constructed from airborne LIDAR data and given outlines of the respective buildings. In this context, cell decomposition is used to guarantee topological correct representations and the simple implementation of constraints between different building parts like co-planarity or right angles. As it will be demonstrated in the second part of the paper, cell decomposition is also advantageous if large scale building models have to be generated for example based on the analysis of terrestrial LIDAR data.
Keywords
geophysical signal processing; optical radar; remote sensing by radar; signal reconstruction; signal representation; airborne LIDAR data; boundary representation; building model generation; cell decomposition; constructive solid geometry; Buildings; Geometry; Heuristic algorithms; Image reconstruction; Large-scale systems; Laser radar; Parameter estimation; Remote sensing; Robustness; Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Urban Remote Sensing Joint Event, 2007
Conference_Location
Paris
Print_ISBN
1-4244-0712-5
Electronic_ISBN
1-4244-0712-5
Type
conf
DOI
10.1109/URS.2007.371856
Filename
4234455
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